AI-native clinical development
The AI-native operating layer for clinical development
CadenceAI connects development plans, regulatory milestones, vendors, contracts, sites, and financial execution around the asset. This gives emerging biotech teams one evidence-backed model of what is happening, what is at risk, and what needs attention.
01
Clinical development planning
- Connect milestones and dependencies across CMC, nonclinical, regulatory, and clinical execution
- Work backward from target dates to see what has to be true
- Keep assumptions and source evidence visible as the plan changes
02
Regulatory intelligence
- Track IND prerequisites, agency interactions, submissions, and commitments
- Connect regulatory milestones to upstream development work
- See which milestones depend on a changed prerequisite
03
Vendor & contract intelligence
- Link CROs, CDMOs, SOWs, MSAs, amendments, deliverables, and obligations
- Connect commercial commitments to the milestones they support
- Trace scope changes into schedule, risk, and spend
04
Site & study execution
- Connect site startup, activation, enrollment, and operational milestones to the program
- See which site dependencies your key milestones rely on
- Bring site execution into the same operating view as vendors and contracts
05
Financial intelligence
- Reconcile invoices and accruals to contracts and operational evidence
- Compare committed, invoiced, accrued, and remaining spend
- Keep payment authorization separate from operational milestone completion
06
Development pipeline visibility
- See milestone, vendor, regulatory, site, and spend risk across assets
- Move from program-level detail to portfolio-level decisions
- Build a durable intelligence layer around how development is actually executed
Bring one development question
Bring one asset, timeline, SOW, regulatory milestone, site plan, or invoice. We’ll show how CadenceAI connects it to the program.
See CadenceAI in action →